Jobs

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control.

Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.

H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.

For more information, visit www.h2o.ai.

The Opportunity

We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.

You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.

What You

About Us:

We are embarking on an exciting era of Data & AI that will transform work and society. Our organization is at the forefront of this innovation, dedicated to assisting clients in optimizing and reinventing their businesses through a substantial investment in Data & AI.

With a team of over 77,000 professionals, we are equipped to tackle industry challenges backed by exceptional talent, experienced innovation, strategic investments, and a powerful ecosystem.

Your Role:

As a Forward Deployed AI Engineer, you will be instrumental in designing, building, and deploying cutting-edge AI systems powered by Large Language Models (LLMs). Your contributions will span the entire AI lifecycle, from research and fine-tuning of foundation models to prompt engineering, systems integration, and deployment in production environments. You will be responsible for enhancing the performance and alignment of our AI systems.

Key Responsibilities:

Design, develop, and optimize AI prompts and applications using foundation models like LLMs. Architect and implement generative agent systems to manage complex tasks effectively. Develop application strategies focusing on both user experience and backend systems. Evaluate and optimize AI system architectures, applying best practices and relevant frameworks. Conduct thorough code reviews, offering expert guidance for enhancements and issue resolution. Build and maintain scalable machine learning infrastructure and training pipelines. Apply advanced evaluation techniques to ensure model robustness, safety, and fairness. Collaborate closely with cross-functional teams to align AI systems with business objectives. Support troubleshooting during testing and production phases. Document technical methodologies and innovations for effective knowledge sharing. Please note that travel may be required for this role, ranging from 0% to 100% based on business needs.

Qualifications:

Minimum 3 years of experience in designing and imple

About Autonomize AI

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. We're growing fast and looking for bold, driven teammates to join us.

The Opportunity

We're looking for a hands-on ML/LLM Engineer who’s excited to ship real-world applications — not just benchmarks. You’ll help us build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a mid to senior-level role for someone who’s ready to go deep on applied ML problems — from retrieval to routing to generation — and ship solutions that deliver impact.

What you'll do

Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)

Fine-tune and evaluate LLMs using both open-source and proprietary data

Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma

Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases

Monitor and improve model quality, latency, explainability, and safety

Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures

Qualifications

3–6 years of experience in applied ML, with at least 1–2 years working with LLMs

Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)

Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning

Bias for experimentation, clarity, and pushing things into production — fast

Understanding of responsible AI practices, model evaluation, and observability

Experience in healthcare, compliance-sens

Hi Professionals,

Title: Healthcare Senior NLP / LLM Engineer (MLOps & AWS)-Onsite Role,Need Local to TXExperience: 7+ Years
Location: Houston, TX (3 days/week onsite)

Mandatory Skills:

Strong expertise in NLP, Machine Learning, and Deep LearningProficiency in Python for ML/NLP solution developmentHands-on experience with LLMs, prompt engineering, and agentic workflows (e.g., LangGraph)Solid knowledge of data preprocessing, feature engineering, and data validationStrong MLOps skills: model versioning, CI/CD, pipelines, monitoring, retrainingExperience with Docker and KubernetesProficiency in SQL for data analysis and transformationExperience with AWS (EMR, Spark, PySpark, Bedrock)Knowledge of PostgreSQL or MySQLStrong understanding of testing, error analysis, and model validation "Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability.”

Healthcare Senior NLP / LLM Engineer (MLOps & AWS)-Onsite Role,Need Local to TX1AWS,NLP,health OR Healthcare,MLOps,LLMN/AC2CUnited States

About Quizlet:

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week.

We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools.

Let’s Build the Future of Learning

Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.

About the Team (Applied AI):

Our mission is to invent and deploy the next generation of intelligent, personalized, and adaptive learning experiences. We’re consolidating AI efforts across the company into a unified portfolio and are accountable for a disproportionate share of Quizlet’s growth and product differentiation. You’ll partner closely with Product, Data Science, and the AI & Data Platform to deliver an AI‑driven learning coach that’s recognized as best‑in‑class.

About the Role:

As an Applied AI Engineer, you will be working at the forefront of our AI strategy, shaping Quizlet’s AI develop in one of the two complementary domains:

Personalization & Ranking – retrieval and ranking systems that match learners with the right content, experiences, and monetization moments across surfaces (search, feed, notifications, ads).

Generative AI & Agentic Systems – LLM‑powered tutoring, content understanding/synthesis, and tools that boost learner outcomes and creator productivity.

You will work on a variety of models and modeling systems (from Two‑Tower retrieval and multi‑task rankers to RAG/LLM pipelines), ensure robust evaluation and responsible deployment

We’re happy to share that this is an onsite position in either ou

About the position

Senior AI Engineer – Real Estate Tech We’re building an innovative product in the real estate space and seeking a Senior AI Engineer to join our founding AI team. This role involves turning generative AI concepts into production-ready features and shaping intelligent software experiences.

Responsibilities

AI Agent Development: Build autonomous and conversational AI agents to enhance productivity and automate workflows.AI/ML System Development: Architect scalable AI systems using AWS AI services and open-source frameworks.Full-Stack Integration: Collaborate with Ruby on Rails backend and React frontend teams for AI feature integration.Data Pipeline Management: Design robust pipelines for real estate datasets to support model training and inference.Performance & Monitoring: Optimize deployed models, APIs, and agents for reliability, accuracy, and cost efficiency.Innovation & Research: Apply LLMs, RAG, and agentic AI to solve complex problems.Technical Leadership: Mentor peers, contribute to coding standards, and influence AI strategy.Lifecycle Ownership: Handle AI development from concept to deployment and iteration.Requirements

5+ years in AI, ML, or software engineering with production AI experienceProficient in Python ; experience with PyTorch, TensorFlow, LangChainHands-on cloud deployment ( AWS preferred )Strong understanding of LLMs, Generative AI, RAG, data structures, algorithms, distributed systemsExcellent collaboration and cross-functional teamworkNice-to-haves

Experience with Ruby on Rails and React integrationKnowledge of vector databases (Pinecone, FAISS, Weaviate)Familiarity with MLOps tools (SageMaker, MLflow)Interest in real estate technology

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about

About the Role
We are seeking an AI Development Engineer to join our AI and machine learning team. This role focuses on multimodal machine learning modeling (audio, video, image, text) and the development of AIGC systems and AI agents.

You will work on translating state-of-the-art research into scalable, real-world AI systems, including virtual humans, text-to-image, and text-to-video generation. You will collaborate closely with research, engineering, and product teams to advance next-generation multimodal and generative AI technologies.

Responsibilities

Design and develop multimodal ML models for understanding and generation across audio, video, image, and text
Build AIGC systems, including virtual humans, text-to-image, and text-to-video models
Develop AI agent systems, covering reasoning, planning, tool usage, and multi-agent collaboration
Convert cutting-edge research into scalable, production-ready AI systems

Requirements

2+ years of relevant industry experience or a PhD in Computer Science, AI, M

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support AI software component

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support AI software components

Job DescriptionJoin a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents and copilots using modern AI/ML techniques.

You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

ResponsibilitiesBuild end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the successful delivery of projects.Develop and execute comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.Collaborate with stakeholders, present findings to non-technical audiences and provide strategic recommendations.Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.Drive innovation by exploring new AI applications and solutions that can benefit the enterprise, leading research and development efforts to keep DPR at the forefront of AI technology.Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact.

QualificationsAt least 3 years of experience with Software Development, Machine Learning.At least 2 years of experience Generative AI, specifically with Large Language Models (LLM).Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets.Experience with Data Connectors and API gateways

Principal Applied AI Engineer, Finance

We are seeking a Principal Applied AI Engineer to lead the design and delivery of next-generation AI and predictive models that transform financial decision-making at scale. This role sits at the intersection of advanced machine learning, agentic AI, and software engineering, with a strong focus on production-grade AI systems, intelligent automation, and predictive modeling.

The ideal candidate is both a strategic technical leader and hands-on builder-capable of architecting complex AI systems with a software engineering mindset, influencing organizational direction, and delivering measurable business impact. You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and establish best practices across modeling, deployment, and governance in a finance context.

Key Responsibilities
Agentic AI & Generative Systems
Architect and lead the development of agentic AI systems that automate and augment finance workflows (e.g., forecasting, reporting, and decision support).Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration patterns (e.g., RAG, model chaining, dynamic prompting).Translate cutting-edge research in LLMs and agentic AI into scalable, production-ready solutions.Establish guardrails, evaluation frameworks, and responsible AI practices to ensure safe, compliant, and reliable outputs.Design fault-tolerant, observable agent systems with clear failure modes and recovery strategies

Predictive Modeling & Customer Behavior Forecasting
Lead the design and implementation of advanced predictive models, including time series forecasting and attrition prediction across customer segments.Develop interpretable, production-grade models that drive retention strategies and financial planning.Define and standardize evaluation metrics, validation frameworks, and monitoring systems for model performance and drift detection.Translate complex predictive insights into a

**Job Description Summary**

At GE Aerospace, we tackle some of the world's most complex engineering challenges. Our engineers rely on software developers to bridge data, tools, and cutting-edge technologies like cloud and Al, unlocking new possibilities and advancing the future of flight.

As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.

**Job Description**

**What You will Do**

+ Develop technical solutions for engineers to evaluate and adopt data and AI solutions.

+ Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.

+ Build and present product architectures, write technical code, and demo applications to stakeholders.

+ Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.

+ Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

+ Use your strengths to support team members and build cross-functional relationships across the company.

+ Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

**Qualifications**

+ Currently enrolled in a Bachelor’s degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or cred

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Department Summary

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

EchoStar is seeking a Senior Engineer to lead the design, development, and deployment of advanced AI/ML and AI systems across enterprise applications. This role focuses on building scalable, production-ready AI solutions for real-time analytics, intelligent automation, and decision support systems. You will collaborate with cross-functional teams to ensure seamless integration of AI/ML technologies into cloud-native infrastructure while maintaining high standards of performance, reliability, and security.

Key Responsibilities:

Design and implement AI/ML systems and integrate with Generative AI technologiesCollaborate with the data science teams to integrate AI/ML solutions into cloud infrastructure, ensuring smooth transitions and knowledge continuityOptimize AI/ML pipelines for real-time data handling, scalability, and develop APIs for seamless system communicationImplement CI/CD pipelines with tools like GitLab and leverage cloud-native technologies for scalable AI solutionsConduct testing, benchmarking, and documentation to ensure AI/ML systems meet performance and functional requirementsLead AI/ML initiatives, mentor junior engineers, and contribute to roadmaps, aligning so

Job Description

Key Responsibilities

Design and implement AI-driven workflows to support and optimize the full course lifecycle, from curriculum structuring to final delivery
Build and maintain automation pipelines for curriculum outlining, content structuring, transcript processing, quiz generation, and multimedia workflows
Develop AI-assisted tools and backend systems to streamline course creation, learner support, and operational processes
Apply machine learning, natural language processing, and generative AI techniques to improve content quality, workflow efficiency, and scalability
Build and optimize data pipelines to handle educational content, including textual, video, and multimedia data
Develop analytics and reporting solutions to monitor learner engagement, workflow performance, and product effectiveness
Analyze data to identify inefficiencies, bottlenecks, and opportunities for optimization across course lifecycle workflows
Create dashboards and reporting systems to provide visibility into learner behavior, content performance, and operational metrics
Support and expand scalable AI-enabled workflows for multimedia content, including video, slides, and interactive formats
Design, develop, and maintain full-stack web applications (front-end UI + backend services) that operationalize AI workflows for course development and delivery teams
Build and document APIs and integrations (e.g., content systems, LMS tooling, analytics platforms), including authentication/authorization, observability, and error handling
Own the build, release, and deployment lifecycle for web services and applications, including CI/CD, environment configuration, and performance/security best practices
Collaborate with subject matter experts (SMEs), program teams, and stakeholders to translate requirements into practical technical solutions
Proactively identify and lead improvements across CPE workflows, taking ownership of automation initiatives and s

Company Description

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.

Job Description

We are seeking an experienced Lead AI Engineer to lead our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end and/or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.

In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to do complex tasks.

Experience leading agentic system development from ideation through production, including technical design, architecture decisions, and day-to-day leadership of Data Scientists and Machine Learning Engineers
Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations
Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK
Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).
Experience working in highly ambiguous environments, and operating with

Lead AI Engineer (FM Hosting, LLM Inference)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support AI software components including foun

Job Summary

As an LLM Engineer at our forward-thinking education technology company, you will design, develop, and optimize large language model solutions that transform digital learning experiences. The ideal candidate is innovative and technically skilled, with a passion for applying AI to enhance educational content, personalized learning, and academic support tools. You will collaborate with cross-functional teams to deliver scalable, ethical, and high-impact LLM-powered solutions tailored to the needs of students and educators.

Must-Haves:

We are seeking a candidate with proven experience developing and deploying large language models, ideally with applications in education or e-learning. You must be proficient in Python and familiar with leading ML/AI frameworks (such as TensorFlow, PyTorch, or Hugging Face Transformers). A strong understanding of NLP, prompt engineering, and model evaluation is essential. Experience with cloud platforms and a solid grasp of data privacy and ethical AI in education are highly valued. Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders are required.

Responsibilities:

Design, develop, and optimize LLM-based applications for educational use cases, such as adaptive tutoring, content generation, and automated assessment.
Fine-tune, evaluate, and maintain LLMs using relevant educational datasets and benchmarks.
Implement prompt engineering and in-context learning strategies to improve model performance and user experience.
Collaborate with educators, product managers, and engineers to align LLM solutions with pedagogical goals and user needs.
Develop and maintain robust, scalable APIs and services for LLM deployment in production environments.
Ensure data privacy, security, and compliance with educational standards and regulations.
Document technical processes, model architectures, and evaluation results for internal and external stakeholders.
Stay curre

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location This is an onsite role to be based in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

About the job you're considering We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows. Develop and maintain automated test suites for UI, API, and data layers across multiple platforms. Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines. Build and manage test data pipelines for diverse applications and environments. Create and maintain CI/CD pipelines to support continuous testing and deployment. Identify and resolve environmental and data dependencies for comprehensive E2E testing. Lead defect triage, backlog grooming, and root cause analysis sessions. Your skills and experience Around 1 year of experience working in or supporting AIbased testing environments, or strong interest with handson exposure through projects or coursework. Working knowledge of at least one programming or scripting langua

Role Name - Agentic AI Engineer

ROLE_DESCRIPTION -

AI Engineer Agentic Platforms & Autonomous Systems Location Flexible / Hybrid / Remote (based on business needs) Role Summary We are seeking an AI Engineer to design, build, and deploy intelligent agents using modern agentic AI platforms, including (but not limited to) Writer, Amazon Bedrock, UiPath, and similar frameworks. This role focuses on creating secure, governable, and scalable agents that can reason, plan, and act across enterprise workflows while integrating with business systems and data.

The ideal candidate is platform-agnostic, understands agent autonomy levels, and can design systems that balance automation, oversight, and trust.

Key Responsibilities Agent & AI System Development " Design and build AI agents capable of reasoning, planning, and executing tasks " Implement agents using multiple agentic platforms (Writer, Bedrock, UiPath, or equivalent) " Apply retrieval-augmented generation (RAG), tool invocation, and memory patterns " Define agent operating modes (assistive, workflow-driven, semi-autonomous) Key Responsibilities Platform Integration & Orchestration " Integrate agents with enterprise systems via APIs and automation frameworks " Connect agents to structured and unstructured data sources " Build orchestration logic separating planning, execution, and validation " Design reusable, cross-platform agent patterns Key Responsibilities Governance, Risk & Control " Implement human-in-the-loop, policy guardrails, and permission controls " Ensure agent actions are auditable, explainable, and compliant " Collaborate with security, risk, and compliance teams Evaluation & Optimization " Measure agent performance, accuracy, cost, and latency " Diagnose and mitigate agent failure modes " Continuously optimize prompts and orchestration logic Required Qualifications " 4+ years of experience in software, AI/ML, or automation engineering " Hands-on experience building LLM-powered agents or wo

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

Responsibilities

Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Develop rendering modules for generating 2D/3D visual assets.
Curate and manage large-scale datasets for learning-based systems.
Implement and optimize post-training workflows for machine learning models.
Contribute to the development of domain-specific languages for engineering tasks.

What we are looking for

5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
BSc or MSc in Compute

Strategic/Functional

Define and drive the organization's AI strategy and roadmap aligned with business goals
Educate leadership and cross-functional teams on AI capabilities, use cases, and best practices
Identify high-impact AI/ML use cases across departments
Provide guidance on responsible AI, governance, and compliance, especially in Public Sector settings
Collaborate with stakeholders to translate business needs into AI-driven solutions
Technical

Design high-level AI/ML architectures and solution frameworks
Evaluate and recommend tools, platforms, and frameworks (e.g., cloud AI services)
Guide teams on data readiness, model lifecycle, and deployment strategies
Ensure scalability, security, and performance of AI solutions
Stay updated with the latest trends in Generative AI, LLMs, and AI platforms


Required Skills & Experience:

8+ years of experience in AI/ML, Data Science, or Solution Architecture
Proven experience as an AI Architect / AI Consultant / ML Architect
Strong understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
Experience with cloud platforms (AWS, Azure, or GCP AI services)
Ability to communicate complex AI concepts to non-technical stakeholders
Experience in defining AI strategy and roadmaps


Preferred Qualifications:

Experience working with Public Sector / Government clients
Exposure to Generative AI / LLMs (e.g., GPT, RAG architectures)
Knowledge of AI governance, ethics, and compliance frameworks
Prior experience in advisory or consulting roles

HiHope you are doing well

This is Bhanu from Intellectt INC; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to bhanuprakash@intellectt.com

Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term

Job Description:

We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits.

Key Responsibilities:

Design and build agentic AI frameworks and intelligent workflows using LLMs.Develop and integrate Python-based AI applications with internal systems and APIs.Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration.Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution.Collaborate with cross-functional teams to align AI initiatives with business goals.Optimize AI agents for scalability, performance, and accuracy in production environments.Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems.Required Skills & Experience:

Strong programming skills in Python and familiarity with AI/ML frameworks.Proven experience developing LLM-driven or multi-agent AI systems.Hands-on experience with LangChain, AutoGen, CrewAI, or related frameworks.Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs.Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).Strong problem-solving and analytical skills.Excellent communication and teamwork abilities.Nice to Have:

Experience in healthcare or insurance domain.Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models.Exposure to MLOps or AI agent lifecycle ma

Build real AI systems—for real public impact.
Louisville Metro Government is seeking an Applied AI Engineering to serve as a hands-on builder and trusted technical advisor as we scale applied AI across city services.
This role blends modern AI engineering with strategic civic leadership. You will design, prototype, and integrate AI solutions while advising executive leadership on what is possible, what is risky, and what is worth scaling. You will help define Louisville Metro’s emerging AI platform, technical standards, and architectural patterns.
What You’ll Do

Partner with the CAIO, AI Product Lead, and departments to identify high-impact AI use cases.
Design and build AI solutions such as Q&A assistants, document intelligence, routing and triage tools, and workflow automations.
Serve as a technical advisor on AI capabilities, constraints, and risks.
Evaluate and integrate third-party AI platforms, ensuring compliance with security, data, and interoperability standards.
Collaborate with data, security, and infrastructure teams to define reusable technical patterns and reference architectures.
Design and execute experiments, proofs-of-concept, and pilot evaluations.
Communicate complex technical concepts in clear, accessible language to nontechnical stakeholders.
Develop and maintain technical documentation, runbooks, and operational handoffs.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field.
Three (3) years of professional experience in software engineering, machine learning engineering, data engineering, or applied AI development (or equivalent experience).
Proficiency in Python and experience with modern AI/ML or LLM frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
Experience building applied AI solutions such as chatbots, recommendation systems, document pipelines, and RAG architectures.
Experience with cloud platforms (AWS, Azure, or GCP), containerization, CI/C

Overview

Microsoft Dynamics 365 powers mission-critical business operations across the globe. Within this ecosystem, the Customer Experience Applications (CX Apps) team delivers Dynamics 365 Sales and Service an AI-native solution enabling organizations to build intelligent, scalable, and omnichannel customer service operations through voice, chat, SMS, and more.

As a Principal Applied AI Engineer, you will be a principal technical leader responsible for driving the architecture, design, and implementation of AI-first experiences across the Dynamics 365 Sales and Service platform. This role blends deep AI/ML expertise with modern software engineering excellence, applied at scale to mission-critical enterprise SaaS applications.

You will work across boundaries partnering with engineering, product, design, data science, and infrastructure teams to deliver intelligent, secure, and customer-centric solutions. You will influence strategic decisions, guide junior engineers, and contribute directly to production systems used by some of the world's largest enterprises.

We are looking for a results-driven, hands-on technical leader who thrives in fast-paced environments, thinks end-to-end, and brings both a strong systems mindset and deep AI/ML experience to solve enterprise-grade challenges.

This is an opportunity to be part of a high-impact, high-visibility product group at Microsoft. You'll help define how AI reshapes enterprise customer service experiences and build intelligent systems that empower agents, improve customer satisfaction, and transform businesses worldwide.

If you're excited about solving real-world problems with AI, working in a fast-moving, collaborative engineering team, and building durable, customer-centric solutions at scale-we'd love to hear from you.

Responsibilities

As a Principal Engineer, you will:
Own architecture, strategy, and execution of AI-powered features across Dynamics 365 Sales and Service, ensuring technical alignment w

**Job Description Summary**

At GE Aerospace, we tackle some of the world's most complex engineering challenges. Our engineers rely on software developers to bridge data, tools, and cutting-edge technologies like cloud and Al, unlocking new possibilities and advancing the future of flight.

As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.

**Job Description**

**What You will Do**

+ Develop technical solutions for engineers to evaluate and adopt data and AI solutions.

+ Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.

+ Build and present product architectures, write technical code, and demo applications to stakeholders.

+ Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.

+ Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

+ Use your strengths to support team members and build cross-functional relationships across the company.

+ Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

**Qualifications**

+ Currently enrolled in a Bachelor’s degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or cred

**Job Description Summary**

At GE Aerospace, we tackle some of the world's most complex engineering challenges. Our engineers rely on software developers to bridge data, tools, and cutting-edge technologies like cloud and Al, unlocking new possibilities and advancing the future of flight.

As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.

**Job Description**

**What You will Do**

+ Develop technical solutions for engineers to evaluate and adopt data and AI solutions.

+ Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.

+ Build and present product architectures, write technical code, and demo applications to stakeholders.

+ Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.

+ Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

+ Use your strengths to support team members and build cross-functional relationships across the company.

+ Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

**Qualifications**

+ Currently enrolled in a Bachelor’s degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or cred

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sage IT Inc, is seeking the following. Apply via Dice today!

Job Title: AI Agent Engineer

Location: Reston, VA ( Onsite)

Job Description:

Required Skills:

Strong experience in AI/ML concepts and model development

Hands-on experience with Large Language Models (LLMs)

Experience with OpenAI API or similar AI platforms

Good understanding of RAG architecture and implementation

Experience with embeddings and vector databases (e.g., Pinecone, FAISS, Weaviate)

Proficiency in Python or Go (Golang)

Experience with AWS services (EC2, S3, Lambda, SageMaker, etc.)

Knowledge of REST APIs and microservices architecture

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

{"description": "Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our cu

Job Description – Agentic AI Engineer (Fresher)

Company: Transnational AI Private Limited

Location: Coppell, TX (On-site )

Work Mode: onsite

About Transnational AI:

Transnational AI Private Limited is a Hyderabad-based global technology company building secure,

scalable, and intelligent agentic AI systems. Our AI platforms power digital exchanges across

employment, insurance, data, and financial services. We believe in creating real-world impact through

autonomous AI agents that plan, act, and learn responsibly. If you are passionate about building the future of intelligent systems — this is the place to grow your career.

Role Overview:

As a Fresher in the Agentic AI team, you will work on designing, developing, testing, and deploying

intelligent agent systems that interact with real users and platforms. You will get hands-on experience with cutting-edge LLM technologies, retrieval systems, tool integration, and agent orchestration frameworks — under strong mentorship from senior engineers. This is an excellent opportunity for

young engineers who want to build their careers at the intersection of AI, product, and systems

engineering.

Responsibilities:

• Contribute to building and maintaining agentic AI workflows — planning, decision-making,

orchestration.

• Work with LLMs, vector stores, prompt engineering, and RAG pipelines.

• Integrate agents with internal APIs, external tools, databases, and cloud services.

• Build guardrails, fallback strategies, and evaluation metrics for agent performance.

• Debug, monitor, and improve real-world AI agent behavior.

• Collaborate with AI, product, infrastructure, and domain teams to deliver production-ready solutions.

Qualifications:

• B.Tech / B.E. / M.Tech in Computer Science, AI, Data Science, or related fields.

• Strong programming skills (Python preferrhon preferred). • Basic understanding of ML / NLP / Generative AI.

• Familiarity with APIs, databases, and cloud tools.

• Strong

A leading engineering firm in New York is seeking an Applied AI Engineer to automate civil engineering processes. You will work closely with civil engineers, building AI systems that enhance design and documentation tasks. Ideal candidates should have over 5 years of software engineering experience, with a strong focus on applied AI/ML, excellent Python skills, and familiarity with ML frameworks like PyTorch and HuggingFace. Join us to help revolutionize the engineering industry through AI. #J-18808-Ljbffr

-Snowflake is anequal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.making moves snowflake prepares to relocate to menlo parkMaking Moves:Snowflake Prepares To Relocate To Menlo ParkRead the BlogProfile RecommendationsNo recommendations foundbuiltbySimilar JobsSoftware Engineer - Machine Learning Feature StoreAvailable in 2 locationsCategoryEngineeringReqIdASHREQ-4378Senior/Staff Software Engineer - Machine Learning Platform (Inference)LocationMenlo Park, California, United StatesCategoryEngineeringReqIdASHREQ-3953Staff Software Engineer - Applied Performance GroupLocationMenlo Park, California, United StatesCategoryEngineeringReqIdREQ17474Senior Anti-Abuse Security Engineer, Product SecurityAvailable in 2 locationsCategoryEngineeringReqIdREQ17192Software Engineer - APGLocationMenlo Park, California, United StatesCategoryEngineeringReqIdASHREQ-5421Senior Technical Account ManagerAvailable in 4 locationsCategoryEngineeringReqIdASHREQ-206Staff Software EngineerLocationMenlo Park, California, United StatesCategoryEngineeringReqIdREQ18079Senior Software Engineer - OpenflowLocationMenlo Park, California, United StatesCategoryEngineeringReqIdREQ18080Senior Software Engineer, Data GovernanceLocationMenlo Park, California, United StatesCategoryEngineeringReqIdREQ17924No recommendations foundPeople Also ViewedNo recommendations foundStay IN THE KNOWReceive updates on similar jobs once a weekSuccess! Successfully subscribed for similar jobsUh oh! You have already subscribed for this jobFailure! Failed to subscribed for similar jobsfc3665acee4741e7a7dda9e4aa4853fa

Applied AI Engineer (AI-Native Marketplace)
Location: New York City (on-site, relocation supported)
Compensation: USD 170,000 – 230,000 + Equity
Hiring: Up to 2 engineers
Company: Confidential (represented by Worthland)

About the Project
Our client is a well-funded, AI-native startup building a real production marketplace in a space that has historically relied on manual workflows and human judgment.

The company has achieved clear product–market fit , is growing rapidly with a lean team, and uses AI not as an add-on but as the core decision engine of the business. Their systems directly impact matching quality, speed, and operational efficiency at scale.

This is a hands-on role for builders who want to ship AI systems that operate in messy, real-world conditions and materially move business metrics.

The Role
As an Applied AI Engineer, you will own end-to-end AI systems powering the marketplace: scoring, matching, ranking, recommendations, and internal automation.

You will work directly with the founder and operations team. There is no separate ML platform team— you own the full loop , from problem definition through production iteration.

This is not a research role and not an infra-only ML position. It is a product-focused, applied AI builder role .

Role Split (Approximate)

~60% Applied AI / ML: model selection, prompting, fine-tuning, evaluation, experimentation

~40% Product & Engineering: backend services, APIs, data pipelines, product integration

First 30 Days (What Success Looks Like)
Week 1

Develop a deep understanding of existing AI systems (scoring, matching, automation)

Identify where models perform well vs. where they fail in production

Partner with the ops team to understand manual overrides and edge cases

Align with the founder on the highest-leverage problems to solve first

Weeks 2–4

Ship meaningful improvements to scoring/matching models and related

Lead AI Engineer (GenAI Platform Services, Python)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support AI software components including foundat

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

Our Internship Program

Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.

What You'll Do

You will work on Projects Including:

As an Agentic AI Engineer intern at Teradata, you’ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.

You will:

Design and write high-performing and scalable software for training models.

Craft and implement techniques to improve the performance and results of our training cycles, both on the SFT and the RL.

Supporting agent management, evaluating open-source frameworks, and implementing logical data models and memory support.

Contributing to low-code/no-code agent construction and the integration of external data sources for complex use cases.

Who You'll Work With

Join Forces with the Best. Collaborate with a talented team of AI architects, ML engineers, and domain experts in Silicon Valley, all working together to advance the future of enterprise AI. Work closely with infrastructure teams to scale AI workloads globally. This is a rare opportunity to shape cutting-edge AI capabilities within a dynamic, data-driven company, where inn

A company is looking for a Senior ML / LLM Engineer to design and implement advanced AI systems for clinical applications.

Key Responsibilities

Design and implement AI Agents and build RAG pipelines based on clinical guidelines

Develop systems to synthesize clinical data into prioritized insights for clinicians

Ensure compliance with HIPAA and implement vector search infrastructure

Required Qualifications

Bachelor's degree preferred

5 years of experience in ML / LLM engineering with production-grade systems

Proficiency in vector databases and MLOps tools (Docker, Kubernetes)

Experience with C# / .NET for backend development

Familiarity with healthcare interoperability standards (FHIR, HL7) is a plus

LLM Engineer
12 month+ contract
100% Remote

Position Summary

Position Summary
The LLM Engineer is responsible for designing, developing, and deploying large language model solutions that support enterprise operations. This role focuses on Azure AI services, Azure OpenAI, and the integration of LLM capabilities into internal applications and workflows. The engineer will work closely with cross-functional teams to turn business requirements into scalable, production-ready AI solutions.

Key Responsibilities
• Design, develop, and deploy LLM-based applications using Azure AI, Azure OpenAI, and related cloud services
• Build retrieval-augmented generation (RAG) pipelines, embeddings, vector stores, and prompt workflows
• Integrate LLM capabilities into enterprise platforms such as Power Platform, Microsoft 365, and internal systems
• Prepare, clean, and transform data for LLM consumption and build feature and inference pipelines
• Implement model monitoring, lifecycle management, evaluations, and performance tuning
• Collaborate with automation engineers, product owners, and business stakeholders to assess and scope use cases
• Document solution architectures, model workflows, and technical designs
• Evaluate emerging AI tools, frameworks, and best practices
• Support troubleshooting, testing, and responsible AI standards

Required Skills and Experience
• Strong hands-on experience with Azure AI services, Azure OpenAI, or similar LLM platforms
• Proficiency in Python and common ML libraries (scikit-learn, pandas, PyTorch, TensorFlow)
• Practical experience building and deploying LLM applications, including embeddings, RAG, prompt engineering, and fine-tuning
• Understanding of data pipelines, model evaluation, and monitoring
• Experience integrating LLM solutions into enterprise systems
• Ability to communicate complex AI concepts clearly to both business and technical stakeholders

Preferred Experience
• Exposure to Power Platform AI Builder, Copilot Studio, or Micro

Company Description
Lumen Solutions Group Inc. is a technology consulting Services company based in Florida. We provide a wide array of experienced business and IT professionals supporting clients from solution design to implementation and support. We specialize in professional IT consulting services, IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation.

Role: AI Agent Engineer / Agentic AI Engineer
Location: Austin, TX (Hybrid - On Site and Telework)
Job Type: Contract

Note: We need only Local Texas Candidates.

Job Summary:
We are seeking an experienced AI/ML Engineer / Autonomous Agent Engineer with 8+ years of hands-on experience in artificial intelligence, machine learning, and advanced data science to design, develop, and deploy production-grade autonomous AI agents and intelligent workflows. The ideal candidate will have a proven track record of building scalable, enterprise-ready AI solutions, including multi-agent systems, agentic workflows, and Retrieval-Augmented Generation (RAG) architectures using vector databases. This role requires deep expertise in context engineering, LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT, and strong proficiency in Python along with leading AI/ML libraries and platforms including OpenAI, Hugging Face, and Azure AI.

Required Skills

4+ years of experience in AI/ML engineering or advanced data science. 4+ years of proven track record of building and deploying production-grade autonomous agents. 4+ years of strong experience in context engineering. 4+ years of deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. 4+ years of experience implementing RAG architectures using vector databases. 4+ years of proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI). 4+ years of experience integrating LLMs via APIs. 4+ years of knowledge of AI governance, model lifecycle management, and evaluation. 4+ years

Job DescriptionJoin a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for the construction Industry. Our AI and Data Team is focused on designing intelligent AI agents and copilots using modern AI/ML techniques.

You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

ResponsibilitiesBuild end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the successful delivery of projects.Develop and execute comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives.Collaborate with stakeholders, present findings to non-technical audiences and provide strategic recommendations.Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.Drive innovation by exploring new AI applications and solutions that can benefit the enterprise, leading research and development efforts to keep DPR at the forefront of AI technology.Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact.

QualificationsAt least 3 years of experience with Software Development, Machine Learning.At least 2 years of experience Generative AI, specifically with Large Language Models (LLM).Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets.Experience with Data Connectors and API gateways

• *Job Description Summary**

At GE Aerospace, we tackle some of the world's most complex engineering challenges. Our engineers rely on software developers to bridge data, tools, and cutting-edge technologies like cloud and Al, unlocking new possibilities and advancing the future of flight.

As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.
• *Job Description**
• *What You will Do**

+ Develop technical solutions for engineers to evaluate and adopt data and AI solutions.

+ Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.

+ Build and present product architectures, write technical code, and demo applications to stakeholders.

+ Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.

+ Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

+ Use your strengths to support team members and build cross-functional relationships across the company.

+ Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
• *Qualifications**

+ Currently enrolled in a Bachelor’s degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or credentialed soft

We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?Role Description
As an Applied AI Engineer specializing in the Public Sector, you are pushing the envelope in solving critical operational challenges for State and Local Government agencies. You will be working with our most strategic public sector clients, understanding their unique objectives—from enhancing citizen services and modernizing legacy systems to optimizing grant management and regulatory compliance—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the complex realities of government operations (breaking down agency silos) and enables agencies to industrialize AI. This unlocks real ROI on AI deployments, maximizing taxpayer value at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to government CIOs and Agency Directors, and ensure successful implementation, adoption, and value realization to increase the footprint of Celonis across state and local governments.
Key Responsibilities:

AI Discovery & Solutioning: Understand public sector AI strategies and specific agency challenges (e.g., benefits administration backlogs, procurement bottlenecks, public safety resource allocation, or permitting delays). As a Celonis product and government domain expert, find the best problem-solution fit and translate agency requirements into innovative solutions that deliver measurable public impact.

Pre- and Post-Sales Execution: Actively drive the full customer lifecycle within the publi

Job Description Summary
We are seeking a highly motivated and talented Sr AI Agent Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.

Job Description

Roles and Responsibilities
• Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks.
• Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion.
• Integrate AI Agents with APIs, backend services, databases, and enterprise applications.
• Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments.
• Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction.
• Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously.
• Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices.
• Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation.
• Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team.
• Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large-scale AI/ML solutions integrating the latest state of the art research in our global products.

Core Technical Skills:
• Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong co

This role is part of the Jobright Direct Hiring Network, where top companies like Cresta AI, Plaud, Mercor, OpenArt, and 1,500+ others hire top talent directly through our platform.

This is not a mass job posting. Only select, high-signal candidates are invited and recommended directly to hiring teams

Hiring Company: Creao AI

One-liner: CREAO is redefining the relationship between people and software by empowering users to create custom, conversational AI applications using natural language.

Salary:

Why Join Us:

Role Responsibilities

• Design, develop, and deploy AI agents using LLMs (e.g., GPT, Claude, open-source models)

• Build multi-step reasoning, planning, and tool-using agent workflows

• Integrate AI agents with internal systems, APIs, databases, and third-party services

• Implement evaluation frameworks to measure agent performance, reliability, and safety

• Optimize prompts, memory systems, retrieval pipelines, and agent architectures

• Collaborate with product, engineering, and design teams to translate real-world problems into AI-driven solutions

• Improve system scalability, latency, and cost efficiency

• Monitor agent behavior in production and continuously iterate based on feedback and data

• Ensure responsible AI practices, including privacy, safety, and bias mitigation

Qualitications

Required

• Strong software engineering skills in Python, TypeScript, or similar

• Experience working with LLMs, AI frameworks, or ML systems

• Understanding of agent architectures, such as: Tool use / function calling, Planning & reasoning, Memory & retrieval (RAG)

• Experience integrating APIs, databases, and distributed systems

• Ability to ship production-ready systems with reliability and observability in mind

Preferred

• Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar

• Experience with vector databases (Pinecone, FAISS, Milvus, etc.)

• Knowledge of evaluation methods for generative AI systems

• Experie

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.
Location

This is an onsite role to be based in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

About the job you're considering

We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role
• Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows.
• Develop and maintain automated test suites for UI, API, and data layers across multiple platforms.
• Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines.
• Build and manage test data pipelines for diverse applications and environments.
• Create and maintain CI/CD pipelines to support continuous testing and deployment.
• Identify and resolve environmental and data dependencies for comprehensive E2E testing.
• Lead defect triage, backlog grooming, and root cause analysis sessions.

Your skills and experience
• Around 1 year of experience working in or supporting AIbased testing environments, or strong interest with handson exposure through projects or coursework.
• Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or JavaScript.
• Basic to intermediate experience with test automation t

Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

Why this Role Matters:

We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing.
You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and b

The Intuit T4I (Tech for Intuit) team is responsible for building Intuit's core capabilities supporting enterprise Workforce, People, and Places technologies. Our stakeholders include HR, Facilities, IT, segment business unit leaders, and all Intuit employees and expert workforce. The T4I engineering organization partners closely with product, design, and platform teams to deliver primarily internal services that improve productivity and employee experience across Intuit.

As a Staff ( Software | ML) Engineer, you will play a critical role in designing, building, and scaling AI-powered agents and copilots that support Intuit's workforce. This role is focused on applied AI systems, not research-delivering production-ready agent architectures that integrate with enterprise systems and workflows.

You will help define how and where AI agents add real value, making thoughtful tradeoffs between LLM-based approaches, traditional ML techniques, and simpler heuristic or rules-based solutions. You will work across backend services, AI platforms, and conversational interfaces to enable intelligent automation at scale.

This role is well suited for senior backend engineers with strong AI systems experience or ML engineers with strong software engineering foundations who are excited about building end-to-end agentic systems.

If you have a bias for action, enjoy operating in ambiguity, and are motivated by building practical AI solutions that drive measurable business impact, this role may be a great fit.

Responsibilities

ResponsibilitiesDesign and Build AI Agents: Architect, develop, and deploy AI agents and copilots that augment Intuit employees' workflows, integrating with internal systems and tools.
Own End-to-End AI Systems: Take solutions from concept to production-including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces.Apply the Right Tool for the Problem: Evaluate business problems and determine w

About Arcade

Arcade is building the world's first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we're building the infrastructure to make that real.

We've raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.

Arcade is headquartered in San Francisco's Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We're pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we're building fast.

Overview of Role

We are seeking an Applied AI Engineer to join our growing team and help advance our generative AI capabilities. This role blends hands-on model development with integration of cutting-edge AI techniques into production systems. You'll contribute to research, model experimentation, and implementation working closely with cross-functional teams to bring AI-driven products to life.

Responsibilities
• Collaborate with engineering and product teams to train and fine-tune machine learning models, including diffusion models, LLMs, and other emerging generative architectures
• Develop tools and pipelines that support scalable, effic

Paradigm is a software company transforming the way that the residential construction & building product industries operate across the globe. We are looking for a Senior Applied AI Engineer to be part of revolutionizing these industries.

The Senior Applied AI Engineer will design, deploy, and optimize AI systems that power next-generation construction workflows. In this role, you’ll build the bridge between machine learning models and real-world applications—using LLMs, computer vision, retrieval systems, and agentic orchestration to automate key steps in the homebuilding process such as plan interpretation, takeoffs, estimating, and specification matching.

This role blends hands-on engineering, AI system design, and integration with enterprise platforms—turning AI capabilities into production-ready features that builders, designers, and estimators can rely on daily.

What You Will Do:
• Build and deploy advanced agentic AI systems that combine large language models, computer vision, and rules-based logic to automate construction workflows.
• Implement and optimize retrieval-augmented generation (RAG) pipelines to connect LLMs with real-time project data, specifications, and plan sets.
• Integrate AI models into production services and APIs for use in design, estimating, and procurement applications.
• Fine-tune and adapt pre-trained models for domain-specific tasks such as plan understanding, entity extraction, and bill-of-material generation.
• Evaluate and refine model accuracy, reasoning quality, and cost efficiency through Evals, zero/few-shot tests, Chain-of-Thought reasoning analysis, and LLM-as-a-judge evaluation techniques.
• Optimize inference performance and ensure system reliability in live environments.
• Work closely with data engineers to structure, index, and prepare complex multimodal datasets (text, CAD/BIM files, images) for AI consumption.
• Implement and refine robust data pipelines for training, validation, and feedback loops to continuously

Position Summary:

Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is on a hybrid-basis, candidates must be within a commutable distance to the Irvine, CA Area or Plano, TX Area.

Responsibilities:
• Designs, develops, and delivers solutions that meet business line and enterprise requirements.
• Serves as a recognized authority and internal expert in applied AI, shaping the organization’s technical direction and strategy.
• Oversees large, complex and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
• Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
• Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.
• Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
• Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
• Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
• Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
• Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
• Performs other duties and projects assigned.

Requirements:
• Minimum five (5) + years technical engineering experience with coding in languages inclu

A company is looking for a Full-Stack AI Engineer for a remote opportunity. Key Responsibilities Design, develop, and maintain enterprise-grade AI and ML solutions Integrate AI models into Microsoft Copilot Studio and manage their lifecycle on AWS SageMaker or Azure ML Collaborate with teams to embed AI services into core business systems and mentor junior engineers Required Qualifications 2-5 years of experience in software engineering, ML, and/or MLOps Proficiency in Python and ML frameworks such as Scikit-learn, PyTorch, and TensorFlow Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps Bachelor's or Master's degree in Computer Science, Data Science, or a related field Experience deploying AI pipelines in AWS SageMaker or Azure ML

A company is looking for a Software Engineer, AI Agents and Generative AI. Key Responsibilities Design, develop, and deploy AI-native software products for actionable intelligence from geospatial data Implement multi-agent workflows for autonomous reasoning and decision-making Integrate Large Language Models for contextual analysis and adaptive decision-making Required Qualifications Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field Must be a U.S. Citizen 3+ years of proven experience in software engineering and AI/ML Strong understanding of cloud-based data management and machine learning pipelines Significant software development experience with Python, JavaScript, or similar

Databricks is a data and AI company that helps organizations build and productionize AI applications. The AI Forward Deployed Engineering team is seeking an AI Engineer to develop cutting-edge GenAI solutions and serve as a trusted technical advisor to federal government customers.

Responsibilities
• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Skills
• U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information
• Experience working with U.S. federal civilian, state, or local agencies
• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed

Company: Qualcomm Technologies, Inc.

Job Area: Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

LLM Serving Engineer (Cloud AI Engineering )

Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.

We are hiring LLM Serving Engineers at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.

This role involve s the following activities:

Building a scalable LLM inference platform using inference techniques ( e.g. disaggregated serving and KV - C ache management , advanced parallelism, speculative algorithms , model optimization , specialized kernels ) .

Contribute to the development of LLM Serving packages ( e.g. vLLM , SGLang , TGI, Triton -Inferen ce server , D ynamo, LLM-d ) .

Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.

Work at the fore front of Gen AI by understanding advanced algorithms ( e.g. attention mechanisms, MoEs ) and numerics to identify new optimization opportunities .

Drive efficient serving through smart autoscaling, load balancing and routing .

Engage with open - source serving communities to evolve the framework .

Candidates for this position will demonstrate the following :

Hands-on e xperience in one or more of the following LLM serving /Orchestration packages ( Triton

Senior AI Engineer (Gen AI Platform Services, Agentic Systems)

Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components incl

A company is looking for a Software Engineer, AI Agents and Generative AI. Key Responsibilities Design, develop, and deploy AI-native software products for actionable intelligence from geospatial data Implement multi-agent workflows for autonomous reasoning and decision-making Integrate Large Language Models for contextual analysis and adaptive decision-making Required Qualifications Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field Must be a U.S. Citizen 3+ years of proven experience in software engineering and AI/ML Strong understanding of cloud-based data management and machine learning pipelines Significant software development experience with Python, JavaScript, or similar

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

{"description": "Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates wor

Staff Software Engineer - AI Orchestration 💰 Salary: $188,000 - 275,000 per year

At CoreWeave we are looking for a ML, AI engineer!

🛠️ Our tech stack:
AI, Cloud, Support, Kubernetes, Machine-Learning

📝 Rquirements:
- Over 8 years of experience in software engineering, particularly in distributed systems or cloud platforms
- Strong knowledge of Go programming language and experience in creating large-scale, long-term production systems
- In-depth understanding of Kubernetes internals, scheduling strategies, and controller-based architectures
- Proven experience in designing or enhancing orchestration, scheduling, or resource-management platforms
- Ability to lead technical projects across teams without direct authority
- Strong operational mindset with a background in managing mission-critical systems at scale
- Preferred experience with orchestration frameworks such as Kueue, Volcano, Ray, or similar Kubernetes-native tools
- Background in AI infrastructure, ML platforms, HPC, or extensive batch and streaming systems
- Comprehensive understanding of scheduling principles including fairness, pre-emption, quota management, and multi-tenant isolation
- Experience in defining and managing SLOs, capacity models, and significant reliability enhancements
- Contributions to open-source infrastructure or orchestration initiatives

👩‍💻👨‍💻 Your responsibilities are:
- Drive the technical vision and architecture for key aspects of the AI Workload Orchestration Platform
- Create scalable and reliable orchestration components for AI workloads across diverse schedulers and environments
- Lead cross-functional architectural reviews and ensure alignment among infrastructure, CKS, and managed inference teams
- Establish platform standards for reliability, observability, capacity management, and operational excellence
- Identify and address systemic performance, scalability, and fairness challenges across large GPU clusters
- Mentor senior engineers and foster technical leadership

Description

Position at loanDepot

Position Summary:

Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives.

Responsibilities:
• Designs, develops, and delivers solutions that meet business line and enterprise requirements.
• Serves as a recognized authority and internal expert in applied AI, shaping the organization's technical direction and strategy.
• Oversees large, complex and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
• Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
• Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.
• Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
• Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
• Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
• Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
• Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
• Performs other duties and projects assigned.

Requirements:
• Minimum ten (10) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Two (2) + years'

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb’s departments. This hybrid role blends hands‑on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

Key Responsibilities

Architect and develop multi‑agent systems for process automation and intelligent decision‑making.
Implement reasoning, planning, and tool‑use capabilities using frameworks such as LangChain, AutoGPT, or similar.
Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.
Analyze, map, and document business proc

Role: AI Agent Engineer

Location: Austin TX

Duration: 4 Contract

Job Description

HHSC has issued a request for an AI Agent Engineer that will be responsible for designing and building agentic AI solutions, including autonomous workflows and RAG-based systems, to improve productivity, automate business processes, and support intelligent decision-making. This role focuses on production-grade agent development using tools like LangChain, LangGraph, CrewAI, and AutoGPT, with strong attention to governance, security, safety controls, and cost efficiency. The ideal candidate brings strong Python and LLM integration experience, plus the ability to build secure, scalable AI solutions for enterprise use.

Responsibilities include (but are not limited to):

Design and develop autonomous AI agents, RAG pipelines, and intelligent workflows that support business automation and decision-making.
Integrate LLMs securely using APIs, vector databases, MCP, and AI guardrails to support governed enterprise use cases.
Build, test, and maintain production-ready AI solutions with strong focus on governance, privacy, safety, and cost efficiency.

Minimum Candidate Characteristics:

4+ years of experience in AI/ML engineering or advanced data science with proven delivery of production-grade autonomous agents.
4+ years of experience building RAG architectures using vector databases and integrating LLMs through APIs.
4+ years of hands-on experience with Python, AI/ML libraries, and agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT.

Exceptional Candidate Characteristics:

Experience with an HHS agency.
Experience building multi-agent or autonomous agentic workflows in enterprise environments.
Experience optimizing LLM cost, token usage, and runtime performance.
Familiarity with enterprise AI deployment patterns, scalability, and operational controls.

Pay: $70.00 - $75.00 per hour

Benefits:

401(k)
Dental insurance
Health insurance
Vision insur

Senior Lead AI Engineer (LLM Customization and Finetuning)

Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components includin

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support AI software components including

Security Clearance is required for this role

Job Title: AI/ML Engineer

Job Type: Full-Time

About Us:

micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

Job Summary:

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1’s proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities:
• Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
• Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
• Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communi

The Intuit T4I (Tech for Intuit) team is responsible for building Intuit’s core capabilities supporting enterprise Workforce, People, and Places technologies. Our stakeholders include HR, Facilities, IT, segment business unit leaders, and all Intuit employees and expert workforce. The T4I engineering organization partners closely with product, design, and platform teams to deliver primarily internal services that improve productivity and employee experience across Intuit.

As a Staff ( Software | ML) Engineer, you will play a critical role in designing, building, and scaling AI-powered agents and copilots that support Intuit’s workforce. This role is focused on applied AI systems, not research—delivering production-ready agent architectures that integrate with enterprise systems and workflows.

You will help define how and where AI agents add real value, making thoughtful tradeoffs between LLM-based approaches, traditional ML techniques, and simpler heuristic or rules-based solutions. You will work across backend services, AI platforms, and conversational interfaces to enable intelligent automation at scale.

This role is well suited for senior backend engineers with strong AI systems experience or ML engineers with strong software engineering foundations who are excited about building end-to-end agentic systems.

If you have a bias for action, enjoy operating in ambiguity, and are motivated by building practical AI solutions that drive measurable business impact, this role may be a great fit.

Responsibilities

ResponsibilitiesDesign and Build AI Agents: Architect, develop, and deploy AI agents and copilots that augment Intuit employees’ workflows, integrating with internal systems and tools.
Own End-to-End AI Systems: Take solutions from concept to production—including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces.Apply the Right Tool for the Problem: Evaluate business problems and determine w

#WeAreIn to create tiny chips and big careers. Are you ready to take the first step of your career? Let's shape the future together! Whether you join as a student, intern or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?

Your Role

Key responsibilities in your new role
• Agentic AI Development: Build agentic AI tools to enhance software and firmware development workflows\
• Data Mining: Analyze and extract insights from configuration data stored in data lake repositories
• LLM/SLM Tools: Develop application-level large/small language models for device configuration automation
• Machine Learning/NLP: Leverage ML and NLP algorithms to solve real-world engineering problems
• Database Expertise: Utilize SQL/NoSQL databases for data storage, access, and analysis
• Programming Languages: Apply Python, JavaScript, and other tools for AI and software development tasks

Your Profile

Qualifications and skills to help you succeed
• Education: Pursuing Bachelor’s or Master’s in Computer Science, Electrical Engineering, or Data Science
• Programming Languages: Proficiency in Python, JavaScript/TypeScript, or MATLAB
• AI Frameworks: Familiarity with tools such as Hugging Face or LangChain for LLM/SLM development
• Multidisciplinary Focus: Interest in embedded systems, power electronics, or configuration workflows
• Database Knowledge: Experience with SQL/NoSQL databases and data analysis workflows
• Collaboration Skills: Strong communication skills for teamwork and agile development environments
• Find out what we are looking for in your CV
• Find out how the student application process works with us
• Discover our student website

#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive inno

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Design, develop, test, deploy, and support A

Chicago, Atlanta, Bridgewater, Southfield

AI/LLM Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location

This is an onsite role to be based in either Chicago, IL or Seattle, WA or Grand Rapids, MI or Scottsdale, AZ or Atlanta, GA.

About the job you’re considering

We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.

Your role
• Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows.
• Develop and maintain automated test suites for UI, API, and data layers across multiple platforms.
• Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines.
• Build and manage test data pipelines for diverse applications and environments.
• Create and maintain CI/CD pipelines to support continuous testing and deployment.
• Identify and resolve environmental and data dependencies for comprehensive E2E testing.
• Lead defect triage, backlog grooming, and root cause analysis sessions.

Your skills and experience
• Around 1 year of experience working in or supporting AI‑based testing environments, or strong interest with hands‑on exposure through projects or coursework.
• Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or Java

About the Role:

Grade Level (for internal use):
12

S&P Global Corporate

The Role: Lead Workstation Agentic AI Engineer

The Team: Endpoint Management is part of the Digital Experience team. Our global team focuses on providing architectural and engineering services for S&P Global’s desktops, laptops, mobile devices, print services, and productivity applications.

What’s in it for you:

This position will provide an opportunity to expand your experience to all the technologies serviced by the Endpoint Management team and to work on state-of-the-art technologies used in the end-user computing space. You will work on projects and initiatives that will directly impact S&P Global’s employees and will expand your knowledge of our business and how Digital Experience’s technology enables the business.

Responsibilities:
• Architect and develop advanced vulnerability management solutions using Agentic AI frameworks and machine learning algorithms to automatically identify, prioritize, and orchestrate remediation workflows across enterprise workstation environments
• Design and implement automated CVE (Common Vulnerabilities and Exposures) response systems with real-time threat intelligence integration, including CVSS scoring automation and patch deployment orchestration
• Lead technical architecture decisions for endpoint security infrastructure, including integration with SIEM platforms, threat intelligence feeds, and enterprise security orchestration tools
• Develop comprehensive vulnerability assessment frameworks using PowerShell, Python, and REST APIs to interface with Microsoft Intune, Configuration Manager, and third-party endpoint management platforms
• Engineer advanced analytics and reporting solutions using data visualization platforms and business intelligence tools to provide executive-level vulnerability posture dashboards and risk metrics
• Establish DevSecOps practices for vulnerability management, including CI/CD pipeline integration, automated testing fr

Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by creating an entirely new collegiate experience that expands access and opportunity. Backed by $38M from top venture firms including Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, the company is led by former Duolingo executives and a founding team that also includes Emmy Award winners. With a strong culture centered around high-impact, detail-oriented team members, Outsmart is already seeing significant traction, generating 1–5 million weekly organic views on social media.

What You’ll Be Doing

In this role, you’ll be at the forefront of the AI that powers Outsmart’s applications. As an early member of the engineering team you’ll play a critical role in setting the tone for Outsmart’s technical culture including setting standards for algorithmic quality, scalability, and AI-first development. You will work on both generative and discriminative use cases, focusing on content generation at scale, gamification, benchmarking and analytics, multi-modal behavior classification from mobile signals, and continuously modernizing Outsmart’s SDLC.

Who You Are

5+ years experience in hands-on AI/ML role

Deep and proven experience with agentic engineering

Experience shipping AI-first applications at scale

Experience using AI effectively to contribute cross-platform

Demonstrable sense of Product, QA, and DevX

Ability to work autonomously in a fast‑paced environment

What You’ll Own

Co-ownership of AI-first SDLC

MCP/ML tooling

Contribute to prompting standards across the engineering team

Define and enforce benchmarks for AI applications

Work with Product and Engineering leadership to define AI roadmap

Own end-to-end deployment and maintenance of AI systems

What Helps You Succeed

Craftsmanship and Extreme Ownership

Open-mindedness

Frequent, direct, honest, kind communic

Overview:
UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products.
We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.

Technical Challenge:
As a Machine Learning Engineer at UP.Labs, You will design, develop, and deploy advanced machine learning and generative AI solutions that drive innovation across our venture portfolio. Your work will span the full ML lifecycle—from data pipeline architecture and model development to production deployment and optimization on cloud platforms. This is a hands-on role requiring strong technical expertise, creativity, and a passion for innovation in the transportation industry.

In this role you will:
• Lead the development and deployment of computer vision solutions (image classification, object detection, segmentation, OCR) alongside scalable machine learning systems including predictive models, recommendation systems, and advanced analytics pipelines.
• Design and build scalable backend systems and APIs that serve ML models and integrate with data infrastructure.
• Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities for machine learning applications.
• Implement end-to-end ML workflows, including data preparation, model training, evaluation, and deployment.
• Develop and maintain production-grade ML systems, ensuring reliability and accuracy over time.
• Conduct thorough model testing, validation, and monitoring to ensure accuracy and stability.
• Stay current with the latest advancements in machine learning, artificial intelligence, and cloud technologies.

Required Skills:
• Strong experience in computer vision, including image classification, object detection, segmentation, OCR, and deploying vision-based m

Job Title: AI/ML Engineer

Job Type: Full-Time

Job Summary

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities
• Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
• Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
• Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills And Qualifications
• Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
• Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
• Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
• Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Background in building and maintaining data pipelines, ontologies, me

Who We Are:

Exiger transforms supply chains into a strategic advantage—advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers—including Fortune 500 companies and U.S. government agencies—Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP® authorized provider to the federal government.

Forward Deployed Engineer

Location: Huntsville, Alabama

Work Environment: Hybrid

Role Summary:

Exiger is transforming how governments and global enterprises manage supply chain, defense, and geopolitical risk. Our AI-powered platform equips the world's most important institutions with the intelligence they need to protect critical infrastructure, secure national interests, and make data-driven operational decisions.

From identifying counterfeit parts in defense supply chains to anticipating geopolitical risk exposure, Exiger enables mission owners to act with clarity and confidence in complex, high-stakes environments.

Forward Deployed AI Engineers work directly with government and defense customers to understand their most complex operational challenges and design and implement AI-driven solutions to solve them.

Our customers rely on Exiger's platform to support mission-critical operations — often beginning with open-ended questions such as:

"Where are vulnerabilities hidden in our supply chain?"
"How can we proactively detect and mitigate risk before it impacts readiness?"
"How do we modernize fragmented legacy systems into a unified intelligence capability?"

As a Forward Deployed AI Engineer, you will combine engineering depth, AI/ML expertise, and mission understanding to deliver scalable, producti

Here at Spellbrush , we're passionate about making a good anime game.

We also happen to be the world's leading generative AI studio — we're the team behind niji・journey.

We are currently investigating how AI can be used to help human artists perform masterpieces in the most complex medium of our times: videogames.

Our games are characterized by a no-compromise approach to well-balanced gameplay married to a truthful love of visual arts.

If you love turn-based tactics games, please consider applying!

The Role:

Spellbrush, the world’s leading generative AI studio behind_ niji・journey __ , _ is looking for an LLM Prompt Engineer to bring the characters and world in our mobile turn-based tactics game to life with distinctive flair! If you love games like Fire Emblem and Final Fantasy Tactics and are eager to utilize Generative AI to create evocative gameplay experiences, please apply!

What you’ll do:
• Become the power user and wizarding wordsmith of our LLM models, coaxing out new turns of phrase, emotional responses, and vivid imagery through imaginative prompt engineering.
• Deeply understand our next flagship game’s core narrative, themes, and character motivations and conflicts – then translate these elements into elegant LLM prompts.
• Work with our Creative Director to develop new systems for enabling our game’s characters to freely express themselves in the native game platforms where they interact with players.
• NOTE: You do not need to be currently involved in LLM research or an AI / ML expert to apply - we highly value your writing and creative ability.

You might be a great fit if:
• You endeavor to use LLM’s to revolutionize character communications.

A familiarity with text-based Generative AI and LLM is definitely handy, but moreso than that you understand that LLM’s are working off of datasets and training, and that your finesse in guiding the models will produce outstanding delights of diction.
• You’re eager to push the boundaries of written an

About the Company

At Twenty, we're taking on one of the most critical challenges of our time: defending democracies in the digital age. We develop revolutionary technologies that operate at the intersection of the cyber and electromagnetic domains, where the speed of operations exceeds human sensing and complexity transcends conventional boundaries. Our team doesn't just solve problems – we deliver game-changing outcomes that directly impact national security. We're pragmatic optimists who understand that while our mission of protecting America and its allies is challenging, success is possible.

Role Summary

You’ll build and ship language-model-powered systems that strengthen Twenty’s mission-critical cyber capabilities for U.S. national security. You’ll own the end-to-end workflow—from curating specialized datasets and post-training models to deploying reliable inference and retrieval systems in production. You’ll partner closely with product and engineering to translate real operational needs into high-performing AI features, operating across cloud and on-premises environments where speed, correctness, and security matter.
Who You Are
• You’re motivated by real-world outcomes and want your work to directly impact national security missions.
• You care about rigor: clean data, measurable evaluation, and repeatable experiments beat demos.
• You balance research curiosity with product instincts—you ship, observe, iterate, and harden.
• You’re comfortable working across cloud and on-premises constraints and adapting to the environment.
• You communicate clearly with engineers and non-ML partners, and you write documentation people use.
• You think in systems: models, retrieval, infrastructure, and feedback loops all have to work together.
• You thrive in fast-moving teams with high standards, direct feedback, and high ownership.

What You’ll Do
• Create, clean, and maintain high-quality training and evaluation datasets for specialized AI use cases.
• Fine-tune lang

About the position

At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state-of-the-art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients—at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML-related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world’s leading biopharma companies, translating cutting-edge AI research into real scientific and business impact About the Role: As a Senior Applied AI Engineer, you will be embedded within cross-functional teams to deliver practical, high-impact AI/ML solutions aligned with GSK’s R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI-powered tools that accelerate drug discovery, improve decision-making, and enable responsible use of AI across the enterprise. This role is hands-on and consultative in equal measure. You will evaluate use-case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK’s approved.

Responsibilities
• Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts.
• Co-design prototypes and proof-of

At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state-of-the-art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects.
The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML-related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting-edge AI research into real scientific and business impact

About the Role:
As a Senior Applied AI Engineer, you will be embedded within cross-functional teams to deliver practical, high-impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI-powered tools that accelerate drug discovery, improve decision-making, and enable responsible use of AI across the enterprise.
This role is hands-on and consultative in equal measure. You will evaluate use-case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved.

Key Responsibilities:

Advisory & Solution Design
• Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts.
• Co-design prototypes and proof-of-concepts (Po

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our New York office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for
• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have
• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, quer

Job Title: Lead AI Engineer – AI Foundations, LLM Core & Agentic AI

Location- Remote

Role Summary

We are seeking a Lead AI Engineer to drive the design and development of advanced AI systems, with a focus on foundational models, Large Language Models (LLMs), and agentic AI frameworks. This role will lead the architecture and deployment of scalable, production-grade AI solutions that power intelligent automation and next-generation applications.

Key Responsibilities
• Lead the design and development of AI/ML systems with a focus on LLMs and agent-based architectures.
• Build and optimize pipelines for training, fine-tuning, and deploying large language models.
• Architect AI platforms supporting retrieval-augmented generation (RAG), embeddings, and vector databases.
• Develop and manage agentic workflows, orchestration layers, and multi-agent systems.
• Integrate AI capabilities into enterprise applications via APIs and microservices.
• Ensure scalability, performance, and reliability of AI systems in production.
• Collaborate with data scientists, software engineers, and product teams to deliver AI-driven solutions.
• Establish best practices for prompt engineering, model evaluation, and responsible AI.
• Implement monitoring, logging, and continuous improvement for deployed AI systems.
• Stay up to date with advancements in generative AI, LLM frameworks, and tooling.

Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• 7–10+ years of experience in software engineering/AI engineering, with strong hands-on expertise in ML systems.
• Deep understanding of:
• Large Language Models (LLMs) and transformer architectures
• NLP, embeddings, and semantic search
• Retrieval-Augmented Generation (RAG)
• Strong programming skills in Python (preferred) and experience with ML frameworks (PyTorch, TensorFlow).
• Experience with LLM ecosystems and tools (e.g., LangChain, LlamaIndex, vector DBs like Pine

• *Job Description: AI Agent Engineer**

(Agent Building Team)
• Role:

AI Agent Engineer
• Job Location:

New Jersey
• Word Mode:

Hybrid
• Experience:

4+ years
• *About the Role**

We are looking for an AI Agent Engineer to join client’s Agent Building team to develop intelligent agents and business applications consuming the Enterprise AI Platform, with a focus on agent orchestration, evaluation frameworks, and domain-specific workflows using platform primitives.
• *Key Responsibilities**

· Build agents using AWS Strands SDK, Bedrock AgentCore SDK, and CrewAI orchestration

· Develop agent logic and troubleshooting using strong Python skills

· Implement comprehensive evaluation frameworks for model performance and RAG quality

· Create backend services with Python and integrate with platform APIs

· Build frontend experiences using React JS and Node JS frameworks

· Manage source code with Git/Bitbucket using agile development practices

· Design and debug agent behaviors for production reliability and business outcomes

· Integrate domain-specific RAG pipelines and evaluation metrics

· Consume platform services (gateways, MCP tools, observability) following security patterns
• *Required Skills & Qualifications**

· 4+ years Python development with AI/ML frameworks (CrewAI, LangChain, or equivalent)

· Hands-on experience building production agents with Bedrock AgentCore SDK, Strands SDK/CrewAI

· Strong evaluation framework development (LLM judging, RAG metrics, agent success criteria)

· Full-stack development experience (React JS frontend, Node JS/Python backend)

· Agent debugging and observability skills for complex multi-agent workflows

· Experience consuming enterprise API platforms (REST/GraphQL/OAuth2) securely
• *Nice to Have**

· Domain expertise in financial services use cases for agentic AI

· Multimodal agent development (text + image/audio processing)

· Previous CrewAI production deployments with custom tools and memory management
• Integers.

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Overview

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI soft

Who we are at Osmo:

Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory.

Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the reach of human intuition alone. Osmo is headquartered in New York, NY, with a new facility in New Jersey, and offices in Somerville, MA.

The Role
We are hiring a Forward Deployed AI Engineer to help build Osmo’s enterprise solutions business.
You will work directly with leading consumer packaged goods (CPG) companies to solve complex fragrance challenges using AI. This role sits at the intersection of engineering, product, and commercial teams.
You will translate customer problems into technical solutions, build rapid prototypes, and deploy systems that deliver measurable value.

What You’ll Do
Work directly with customers

Partner with leading CPG companies to understand product and fragrance challenges

Translate business problems into technical solutions

Build prototypes and solutions

Develop AI-driven prototypes that demonstrate value and unlock deals

Collaborate with internal engineering teams to turn prototypes into deployable systems

Support enterprise engagements

Provide technical leadership during customer discussions and negotiations

Help design scalable solutions for enterprise deployments

Own implementation

Serve as the technical lead during pilots and deployments

Ensure successful delivery and adoption of Osmo solutions

Help build a new business
Identify repeatable solutions across customers

Contribute to building a $100M enterprise solutions business

Who You Are
Strong software engineering and systems design skills
Comfortable building rapid protot

Who we are at Osmo:

Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory.

Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the reach of human intuition alone. Osmo is headquartered in New York, NY, with a new facility in New Jersey, and offices in Somerville, MA.

The Role
We are hiring a Forward Deployed AI Engineer to help build Osmo’s enterprise solutions business.
You will work directly with leading consumer packaged goods (CPG) companies to solve complex fragrance challenges using AI. This role sits at the intersection of engineering, product, and commercial teams.
You will translate customer problems into technical solutions, build rapid prototypes, and deploy systems that deliver measurable value.

What You’ll Do
Work directly with customers

Partner with leading CPG companies to understand product and fragrance challenges

Translate business problems into technical solutions

Build prototypes and solutions

Develop AI-driven prototypes that demonstrate value and unlock deals

Collaborate with internal engineering teams to turn prototypes into deployable systems

Support enterprise engagements

Provide technical leadership during customer discussions and negotiations

Help design scalable solutions for enterprise deployments

Own implementation

Serve as the technical lead during pilots and deployments

Ensure successful delivery and adoption of Osmo solutions

Help build a new business
Identify repeatable solutions across customers

Contribute to building a $100M enterprise solutions business

Who You Are
Strong sof

Senior Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:
• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software com

The Intelligence Platform team builds scalable, production-grade systems that power high-quality, user-centric intelligence across Apple’s operating systems. We focus on designing and operating large-scale ML systems leveraging Generative AI, Large Language Models, RAG architectures, and emerging agentic AI patterns. Our goal is to deliver reliable, low-latency, and privacy-preserving AI capabilities at scale.

Description

We are looking for a Software Engineer with strong systems and engineering expertise to build and scale LLM-powered systems in production. This role focuses on designing robust infrastructure for LLM serving, tool-use orchestration, and agentic workflows.

You will work at the intersection of ML and systems engineering-translating advanced AI capabilities into efficient, scalable, and reliable systems. You will play a key role in shaping system architecture, optimizing performance, and ensuring production readiness of LLM-driven features across Apple platforms.

","responsibilities":"* Design and build scalable systems for LLM inference, orchestration, and agentic workflows (e.g., tool-use pipelines, multi-step reasoning systems).
• Productionize LLM-based solutions with a focus on latency, throughput, reliability, and scalability.
• Architect and maintain infrastructure for model serving, batching, caching, and context management.
• Develop and optimize pipelines for RAG systems, retrieval infrastructure, and data flow across components.
• Partner with modeling teams to integrate models into production systems, ensuring alignment with performance and product requirements.
• Build monitoring, evaluation, and feedback systems to ensure high-quality and robust model behavior in production.
• Drive system-level optimizations across the stack, including distributed systems, concurrency, and resource management.

Preferred Qualifications

Experience with LLM serving systems, inference optimization, batching strategies, or caching (KV/prefix).

Experie

About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise — with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.

Job Summary

As we build to the next level, we’re looking for a top-quality AI engineer with a strong focus on AI agents - someone who knows how to leverage LLMs, both open-source and closed, in combination with complex tool-calling hierarchies and operational patterns.

This is an opportunity to build scalable, secure, and high-impact AI technologies for the future of enterprise. If you thrive in high-growth, fast-moving environments and are passionate about AI, ML, and AI agents, we want to hear from you.

Key Responsibilities

1. AI Agent Building (60%)
• Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
• Build tools enabling AIs to interact with critical enterprise software platforms.
• Ensure AI designs align with business objectives and industry best practices.​

2. ML development and fine-tuning (30%)
• Create data generation and processing pipelines to train and fine-tune custom ML models.
• Implement and manage training and evaluation pipelines for LLMs.

3. Deployment and AI Systems Infrastructure (10%)
• Manage AI infrastructure across platforms such as AWS, Azure, or GCP.​
• Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.

Required Qualifications
• Earned a Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Engineering, or a related field.​
• 5+ years of experience in software engineering, platform engineering, or related roles.​
• P

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Sr. Staff Machine Learning Engineer – AI Agent Platform

Position Description

GEICO is seeking an exceptional Sr. Staff ML Engineer to join our AI organization. You will serve as a technical leader and key architect for GEICO's virtual assistant platform that elevates productivity for 30K+ internal associates and the customer experience for millions of policyholders.

Sr. Staff AI Agent Platform Engineers set the technical vision and drive the architecture of multi-tenant services that power the building, testing, deployment, and hosting of LLM-based AI agents. This includes multi-agent orchestration, standardized interoperability protocols (MCP, A2A), AI agent skill ecosystems with marketplace and governance capabilities, production-grade harness & context engineering, and guardrail frameworks for safe autonomous operation at enterprise scale.

Responsibilities
• Technical Vision & Architecture: Define the long-term technical strategy for GEICO's AI agent platform — including multi-agent orchestration, AI agent lifecycle management, evaluation frameworks, skill registries and marketplace, and workflow orchestration.
• AI Agent Skills & Marketplace: Architect an enterprise skill ecosystem — reusable capability packages that encode domain expertise and workflows into portable, discoverable modules. Build and govern an internal skill marketplace with versioning, security vetting, approval workflows, progressive